Often researchers find parametric models restrictive and sensitive to deviations from the
parametric specifications; semi-nonparametric models are more flexible and robust, but lead …

This chapter describes several nonparametric estimation and testing methods for
econometric models. Instead of using parametric assumptions on the functions and …

The second edition of a comprehensive state-of-the-art graduate level text on
microeconometric methods, substantially revised and updated. The second edition of this …

This book provides the most comprehensive treatment to date of microeconometrics, the
analysis of individual-level data on the economic behavior of individuals or firms using …

Problems involving causal inference have dogged at the heels of statistics since its earliest
days. Correlation does not imply causation, and yet causal conclusions drawn from a …

A Guide to Modern Econometrics, 5th Edition has become established as a highly
successful textbook. It serves as a guide to alternative techniques in econometrics with an …

It is increasingly common for analysts to seek out the opinions of individuals and
organizations using attitudinal scales such as degree of satisfaction or importance attached …

We explain the proliferation of panel data studies in terms of (i) data availability,(ii) the more
heightened capacity for modeling the complexity of human behavior than a single cross …

The other surveys of the field concentrate on density estimation and nonparametric
(singleequation) regression, and consider various statistical methods which aren't widely …

The ability of quantile regression models to characterize the heterogeneous impact of
variables on different points of an outcome distribution makes them appealing in many …